Results 21 to 30 of about 148 (117)
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley +1 more source
The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes
Analysis of Irish precipitation records (1930–2019) shows significant relationships between rainfall extremes and global mean surface temperature (GMST), with increases of 12%–27% per °C of warming. Emergence of unusual climate conditions is already evident at several stations, most notably in the west during winter and the southeast during summer ...
Saoirse Fordham, Conor Murphy
wiley +1 more source
What Do Latest CMIP6 Global Climate Models Say About Future Arctic Sea Ice Coverage Changes?
Modelling of sea ice dynamics has significantly improved between CMIP5 and CMIP6, with nearly three times as many models capturing realistic annual variability in sea ice extent (SIE). What we previously thought was a non‐linear pattern of low SIE observations in 2007–2010 that would continue throughout time now appears to be non‐record‐setting lows in
Jessica L. Matthews +4 more
wiley +1 more source
On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar +2 more
wiley +1 more source
Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai +3 more
wiley +1 more source
Heatwave Characteristics and Trends Across Eight Japanese Cities
Heatwaves occur with high likelihood across Japan. Strong north–south contrasts exist in heatwave characteristics. Southern locations experience more frequent, longer, and more intense heatwaves. Since 1955 there has been an increase in heatwave frequency, duration, and cumulative heat, particularly for nocturnal heatwaves. ABSTRACT This study provides
Glenn McGregor, Asuka Suzuki‐Parker
wiley +1 more source
Solar Geoengineering Effects on Malaria Transmission Risk in South Asia Under G6sulfur Scenario
Comparison of EIR (unit: No of infected bites per person per day) for each considered country in South Asia, under the considered scenarios, averaged over the period 2020–2090. A regression equation is shown for each country (for Bhutan EIRG = 0.1690 × 10−10 EIRS + 0.5968 × 10−12) to illustrate the projected trend.
Athar Hussain +2 more
wiley +1 more source
Alaskan Ridge Blocking and Associated Winter Cold Conditions Over North America
Multi‐decadal (1979–2023) analysis reveals that wintertime reductions in the meridional gradient of potential vorticity (PVy) over the Bering Sea are recurrent but episodic features of North Pacific circulation. These suppressed PVy states consistently co‐occur with amplified Alaskan ridging, weakened mid‐tropospheric westerlies and a downstream warm ...
Varunesh Chandra +2 more
wiley +1 more source
Are West African Heat‐Lows Analogous to Dry Tropical Cyclones?
Heat‐lows qualitatively resemble dry tropical cyclones (TCs), though their underlying physics has yet to be compared. In this study, we show that West African transient heat‐low climatology correlates well with TC potential intensity generalised over land.
Aaron Kruskie +2 more
wiley +1 more source
Tropical Cyclone Rainfall Spatial Asymmetries in the Lesser Antilles
Rainfall is not proportional to the Saffir‐Simpson wind‐based categories. Lower category tropical cyclones (TS, H1, H2 and H3) can generate more intense rainfall than H4 and H5. Rainfall is asymmetric; as a tropical cyclone intensifies or weakens, the location of peak rainfall shifts.
Catherine Nabukulu +3 more
wiley +1 more source

